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ICDE
2009
IEEE
164views Database» more  ICDE 2009»
16 years 5 months ago
Efficient and Robust Database Support for Data-Intensive Applications in Dynamic Environments
Requirements from new types of applications call for new database system solutions. Computational science applications performing distributed computations on Grid networks with req...
Jon Olav Hauglid, Kjetil Nørvåg, Norv...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
15 years 9 months ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 5 months ago
Feature Selection for Nonlinear Kernel Support Vector Machines
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Olvi L. Mangasarian, Gang Kou
KDD
1997
ACM
130views Data Mining» more  KDD 1997»
15 years 8 months ago
Process-Based Database Support for the Early Indicator Method
In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspectsof the fault profile of a set of car...
Christoph Breitner, Jörg Schlösser, R&uu...
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
16 years 4 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang